Proving that determinants aren't linear transformations?

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The discussion confirms that the function T defined by T(A) = det(A) is not a linear transformation because det(A + B) does not equal det(A) + det(B). A counterexample is provided where specific matrices A and B demonstrate this inequality. Additionally, it is noted that det(λA) = λ^n det(A), further illustrating the non-linearity of the determinant function. The participants agree that using counterexamples is sufficient to prove the statement. The conclusion is that the determinant does not satisfy the properties of a linear transformation from M_{n×n}(ℝ) to ℝ.
Eclair_de_XII
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Homework Statement


"Determine whether the function ##T:M_{2×2}(ℝ)→ℝ## defined by ##T(A)=det(A)## is a linear transformation.

Homework Equations


##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##

The Attempt at a Solution


I'm assuming that it isn't a linear transformation because ##det(A+B)≠det(A)+det(B)##. So I have here:

##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##
##det(B)=\sum_{i=1}^n b_{ij}C_{ij}##

##det(A)+det(B)=\sum_{i=1}^n (a_{ij}C_{ij}+b_{ij}C_{ij})##

Meanwhile, I have...

##det(A+B)=\sum_{i=1}^n (a_ij+bij)(C_{ij}+D_{ij})##

I'm fairly certain that the equation directly above is incorrect; perhaps that of the one above that one, too.
 
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What do you get for simple examples like ##A=\lambda I## and ##B=-A## before you try to prove the general case?
 
Eclair_de_XII said:

Homework Statement


"Determine whether the function ##T:M_{2×2}(ℝ)→ℝ## defined by ##T(A)=det(A)## is a linear transformation.

Homework Equations


##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##

The Attempt at a Solution


I'm assuming that it isn't a linear transformation because ##det(A+B)≠det(A)+det(B)##. So I have here:

##det(A)=\sum_{i=1}^n a_{ij}C_{ij}##
##det(B)=\sum_{i=1}^n b_{ij}C_{ij}##

##det(A)+det(B)=\sum_{i=1}^n (a_{ij}C_{ij}+b_{ij}C_{ij})##

Meanwhile, I have...

##det(A+B)=\sum_{i=1}^n (a_ij+bij)(C_{ij}+D_{ij})##

I'm fairly certain that the equation directly above is incorrect; perhaps that of the one above that one, too.

You are correct. It is not a linear transformation because ##det(A + B) \neq det(A) + det(B)## (a counterexample is easy to find, so if you do this this is sufficient to prove the statement, there is really no need to use these definitions). Moreover, ##det(\lambda A) = \lambda^n det(A)## if ##A## is a ##n \times n## matrix, which means ##det(\lambda A) \neq \lambda det(A)## in general.
 
Math_QED said:
(a counterexample is easy to find, so if you do this this is sufficient to prove the statement, there is really no need to use these definitions)

I see. In any case, I'm just going to do the problem like this and hope that my teacher accepts it:

"Let ##A=[I_n]## and ##B## be an ##n×n## matrix such that ##ent_{ij}(B)=β≠0## iff ##i=j=1## and ##ent_{ij}(B)=0## otherwise. Then ##det(A)=1## and ##det(B)=0##. However, ##det(A+B)=1+β≠1=det(A)+det(B)##. Therefore, the determinant is not a linear transformation from ##M_{n×n}(ℝ)→ℝ##."
 
Eclair_de_XII said:
I see. In any case, I'm just going to do the problem like this and hope that my teacher accepts it:

"Let ##A=[I_n]## and ##B## be an ##n×n## matrix such that ##ent_{ij}(B)=β≠0## iff ##i=j=1## and ##ent_{ij}(B)=0## otherwise. Then ##det(A)=1## and ##det(B)=0##. However, ##det(A+B)=1+β≠1=det(A)+det(B)##. Therefore, the determinant is not a linear transformation from ##M_{n×n}(ℝ)→ℝ##."

Counterexamples are more elegant imo, and you are sure there is no flaw in the reasoning, but your approach is fine.
 
Thanks...
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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